At HIMSS26, Dr. Nathan Moore of the BJC Accountable Care Organization will show how health systems can move beyond chatbots ...

AI agents are moving beyond the workplace and into everyday life, with the potential to manage shopping, schedules, and ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

The year 2026 is poised to mark a turning point for AI agents in the enterprise. After several years of hype and ...

As AI moves from controlled experiments into real-world applications, we are entering an inflection point in the security ...

New platform capabilities orchestrate empathetic, predictive, and compliant AI agents to enhance citizen services, commerce, ...

The deal arrives as Meta accelerates its AI investments to compete with Google, Microsoft, and OpenAI — and as the industry’s ...

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

This was supposed to be the year when autonomous agents took over everyday tasks. The tech industry overpromised and ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

WIRED spoke with DeepMind’s Pushmeet Kohli about the recent past—and promising future—of the Nobel Prize-winning research ...

Abstract: This research investigates the problem of exponential tracking consensus for nonlinear switched multi-agent systems (NSMASs) under limited communication resources. To alleviate the ...